
What happened
HiddenLayer, an Austin-based AI security startup, raised $100 million in a Series B round led by Delta-v Capital, with participation from Ten Eleven Ventures, Morgan Stanley, Microsoft's M12, Booz Allen Hamilton, and others. The company makes tools to protect AI models, agents, and workflows from adversarial attacks, and its annual recurring revenue grew more than 10x over the past year, now in the "tens of millions" of dollars.
Why it matters
Gartner estimates companies will spend $2.83 billion this year on securing AI tools, 83% more than 2025, and expects spending to reach nearly $4.78 billion next year. HiddenLayer has extended its products—discovery, runtime protection, attack simulation, and supply chain security—to address prompt injection, agent manipulation, and malicious tool use, with runtime security becoming a priority as AI deployments grow common.
What to watch
HiddenLayer plans to use the new funds for sales and distribution, expand engineering and research, and enter Europe and EMEA. The company also faces potential competition from large cybersecurity firms like Cisco, Palo Alto Networks, and Check Point, which may prefer to buy rather than build similar tech, and startups like Noma and Zenity have each raised over $100 million in adjacent areas.
Summaries like this, every morning.
HiddenLayer's fundraising success underscores a broader shift in the cybersecurity market. Three years ago, when the startup raised its $50 million Series A, the big question was whether AI threats would materialize enough to create a market. Now, security companies are scrambling to build products that monitor AI agents and their tools, and Gartner predicts spending on AI security will reach $2.83 billion this year, an 83% jump from 2025, and nearly $4.78 billion next year. This rapid growth reflects that the risk of agents going haywire during production is real, even if headlines about exploits are rare. HiddenLayer's ability to grow revenue over 10x and secure new funding indicates it has taken advantage of this shift, particularly by extending its existing products—discovery, runtime protection, attack simulation, and supply chain security—to address new threats like prompt injection and agent manipulation. The company's focus on runtime security, akin to endpoint detection and response for AI, highlights the increasing priority of protecting AI deployments in production. However, the competitive landscape is heating up. Large cybersecurity firms like Cisco, Palo Alto Networks, and Check Point often prefer to buy rather than build, and startups like Noma and Zenity have each raised over $100 million to tackle adjacent areas. HiddenLayer's CEO acknowledges that some of its products could be bundled into larger platforms, but he expects AI infrastructure to evolve toward governance features, leaving room for specialized security tools. The company now aims to scale vertically alongside AI and eventually expand horizontally into other cybersecurity areas that depend on AI, but it must first prove it can sustain its head start as the industry catches up.
Pick your industry and the AI tools you use, and get news related to your work every day.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
S&P Global reports Q3 on Oct

Vertiv and NVIDIA presented at GTC on how they can halve AI factory deployment time

CVS Health appointed Jack Hanlon, who previously held senior data and analytics roles at Meta and Reddit, as s…

T-Mobile US completed what Nvidia described as the first AI-RAN call on a live commercial network, unveiled at…

BlackRock Fixed Income Senior Portfolio Manager Jeff Rosenberg said the bond market is reacting rationally to…

Uber kept its AI spending flat while increasing usage 9.4 times, as reported in an August 2026 AXIOS exclusive…
